22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering

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en:scientific_committee [2014/10/27 20:24]
yann
en:scientific_committee [2015/02/13 14:36] (current)
yann [Tools Track Co-chairs]
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 [[http://​www.khomh.net/​|{{:​foutse.jpg?​nolink&​100 |}}]] Foutse Khomh is an Assistant Professor at the Ecole Polytechnique de Montréal (Canada) where he leads the SWAT team on software analytics and cloud engineering research. Prior to this position, he was a Research Fellow at Queen'​s University (Canada), working with the Software Reengineering Research Group and the NSERC/RIM Industrial Research Chair in Software Engineering of Ultra Large Scale Systems. He received a Ph.D in Computer Science in 2010, from the University of Montreal, under the supervision of Yann-Gaël Guéhéneuc,​ with the Award of Excellence. He also received a Master'​s degree in Software Engineering from the National Advanced School of Engineering (Cameroon) and a Master'​s degree (D.E.A) in Mathematics from the University of Yaounde I (Cameroon). His research interests include software maintenance and evolution, cloud engineering,​ service-centric software engineering,​ empirical software engineering,​ and software analytics. His work has been published in top international conferences and journals, including ICSM, MSR, WCRE, ICWS, JSS, JSP, and EMSE. He has served on the program committees of several international conferences including ICSM, WCRE, MSR, ICPC, and has reviewed for top international journals such as SQJ, EMSE, and TSE. He was program co-chair of the Workshops track at the 20th Working Conference on Reverse Engineering (WCRE) and program chair of the Tool track at the 2013 International Working Conference on Source Code Analysis and Manipulation (SCAM). [[http://​www.khomh.net/​|{{:​foutse.jpg?​nolink&​100 |}}]] Foutse Khomh is an Assistant Professor at the Ecole Polytechnique de Montréal (Canada) where he leads the SWAT team on software analytics and cloud engineering research. Prior to this position, he was a Research Fellow at Queen'​s University (Canada), working with the Software Reengineering Research Group and the NSERC/RIM Industrial Research Chair in Software Engineering of Ultra Large Scale Systems. He received a Ph.D in Computer Science in 2010, from the University of Montreal, under the supervision of Yann-Gaël Guéhéneuc,​ with the Award of Excellence. He also received a Master'​s degree in Software Engineering from the National Advanced School of Engineering (Cameroon) and a Master'​s degree (D.E.A) in Mathematics from the University of Yaounde I (Cameroon). His research interests include software maintenance and evolution, cloud engineering,​ service-centric software engineering,​ empirical software engineering,​ and software analytics. His work has been published in top international conferences and journals, including ICSM, MSR, WCRE, ICWS, JSS, JSP, and EMSE. He has served on the program committees of several international conferences including ICSM, WCRE, MSR, ICPC, and has reviewed for top international journals such as SQJ, EMSE, and TSE. He was program co-chair of the Workshops track at the 20th Working Conference on Reverse Engineering (WCRE) and program chair of the Tool track at the 2013 International Working Conference on Source Code Analysis and Manipulation (SCAM).
  
-==== Industrial Track Co-chairs ​====+==== Industrial Track Co-chair ====
  
 [[http://​users.encs.concordia.ca/​~abdelw/​|{{:​wahab.jpg?​nolink&​100 |http://​users.encs.concordia.ca/​~abdelw/​}}]] Wahab Hamou-Lhadj leads the Software Behaviour Analysis (SBA) Research Lab to investigate techniques and tools to help software analysts understand and analyze the behaviour of complex software systems. The term '​software behaviour'​ includes the interactions that occur within the software itself (micro interactions) and between software and its environment (macro interactions). Wahab looks at software from the ecosystem perspective. The outcome of our research can help with a variety of applications:​ software comprehension,​ software maintenance and evolution, performance analysis, anomaly detection, software compliance and certification,​ etc.  [[http://​users.encs.concordia.ca/​~abdelw/​|{{:​wahab.jpg?​nolink&​100 |http://​users.encs.concordia.ca/​~abdelw/​}}]] Wahab Hamou-Lhadj leads the Software Behaviour Analysis (SBA) Research Lab to investigate techniques and tools to help software analysts understand and analyze the behaviour of complex software systems. The term '​software behaviour'​ includes the interactions that occur within the software itself (micro interactions) and between software and its environment (macro interactions). Wahab looks at software from the ecosystem perspective. The outcome of our research can help with a variety of applications:​ software comprehension,​ software maintenance and evolution, performance analysis, anomaly detection, software compliance and certification,​ etc. 
  
-==== Workshops Co-chairs ​====+==== Workshops Co-chair ====
  
 [[http://​essere.disco.unimib.it/​|{{:​francesca.jpg?​nolink&​100 |http://​essere.disco.unimib.it/​}}]] Francesca Arcelli Fontana worked in Italy at University of Milano, University of Salerno and University of Sannio. Currently, she  is Associate Professor of software engineering at the Department of Computer Science of the University of Milano Bicocca, ​ where she works in the area of  software evolution and reverse engineering and she leads the Evolution of Software SystEms and Reverse Engineering Lab. (ESSeRE). The actual research activity principally concerns software quality assessment, ​ software maintenance and evolution, program comprehension,​ design patterns detection for reverse engineering,​ code smell detection through machine learning techniques and empirical analysis in software engineering. She also interested in  exploiting complex network analysis in software evolution. She is a member of IEEE Computer Society. [[http://​essere.disco.unimib.it/​|{{:​francesca.jpg?​nolink&​100 |http://​essere.disco.unimib.it/​}}]] Francesca Arcelli Fontana worked in Italy at University of Milano, University of Salerno and University of Sannio. Currently, she  is Associate Professor of software engineering at the Department of Computer Science of the University of Milano Bicocca, ​ where she works in the area of  software evolution and reverse engineering and she leads the Evolution of Software SystEms and Reverse Engineering Lab. (ESSeRE). The actual research activity principally concerns software quality assessment, ​ software maintenance and evolution, program comprehension,​ design patterns detection for reverse engineering,​ code smell detection through machine learning techniques and empirical analysis in software engineering. She also interested in  exploiting complex network analysis in software evolution. She is a member of IEEE Computer Society.
  
-==== Tools Track Co-chairs ​====+==== Tools Track Co-chair ====
  
 [[http://​msuweb.montclair.edu/​~hillem/​|{{:​emily.jpg?​nolink&​100 |http://​msuweb.montclair.edu/​~hillem/​}}]] Today'​s software is large and complex, with systems consisting of millions of lines of code. New developers to a software project face significant challenges in locating code related to their maintenance tasks of fixing bugs or adding new features. Developers can simply be assigned a bug and told to fix it---even when they have no idea where to begin. In fact, research has shown that a developer typically spends more time locating and understanding code during maintenance than modifying it. Emily Hill works to significantly reduce the cost of software maintenance by reducing the time and effort to find and understand the code relevant to a software maintenance task. Emily'​s primary research interests are in software engineering;​ specifically,​ her work focuses on reducing software maintenance costs through building intuitive software engineering and program comprehension tools. Her research is inter-disciplinary and combines aspects of software engineering,​ program analysis, natural language processing, computational linguistics,​ information retrieval, text mining, and machine learning. ​ [[http://​msuweb.montclair.edu/​~hillem/​|{{:​emily.jpg?​nolink&​100 |http://​msuweb.montclair.edu/​~hillem/​}}]] Today'​s software is large and complex, with systems consisting of millions of lines of code. New developers to a software project face significant challenges in locating code related to their maintenance tasks of fixing bugs or adding new features. Developers can simply be assigned a bug and told to fix it---even when they have no idea where to begin. In fact, research has shown that a developer typically spends more time locating and understanding code during maintenance than modifying it. Emily Hill works to significantly reduce the cost of software maintenance by reducing the time and effort to find and understand the code relevant to a software maintenance task. Emily'​s primary research interests are in software engineering;​ specifically,​ her work focuses on reducing software maintenance costs through building intuitive software engineering and program comprehension tools. Her research is inter-disciplinary and combines aspects of software engineering,​ program analysis, natural language processing, computational linguistics,​ information retrieval, text mining, and machine learning. ​
  
en/scientific_committee.1414455878.txt.gz · Last modified: 2014/10/27 20:24 by yann